Speech coding through adaptive combined nonlinear prediction

摘要

In this paper we propose a nonlinear predictive speech encoder based on an adaptive combiner with a neural net that weighs the prediction of several nonlinear predictors. Thus, we exploit the advantages of data fusion on a nonlinear prediction scheme, where it appears in a more natural way than for linear predictors. Experimental results reveal that this scheme outperforms the fixed combination (with mean, median, etc. operators) up to 1.5 dB in SEGSNR. (C) 2005 Elsevier B.V. All rights reserved.